AI-Enhanced Biodegradable Sensors for Environmental Monitoring

Abstract

In an era where electronic waste is a growing global concern, the development of biodegradable sensors represents a crucial step towards sustainable environmental monitoring. Traditional sensors, composed of non-biodegradable materials, contribute significantly to the mounting problem of electronic waste. This paper explores the integration of artificial intelligence (AI) with biodegradable sensors, which not only mitigates the environmental impact of electronic waste but also enhances the precision, real-time decision-making, and efficiency of environmental monitoring systems. While these AI-enhanced sensors offer promising advances, challenges such as data privacy, infrastructure costs, and the ecological impact of their deployment remain. Furthermore, the paper addresses the critical issue of AI ethics and bias mitigation, emphasizing the need for transparent, inclusive, and interdisciplinary approaches in developing AI-driven technologies. The discussion provides insights into future possibilities for AI-enhanced biodegradable sensors, including expanded applications, advancements in biodegradable materials, and the ethical deployment of these technologies. The paper underscores the necessity of interdisciplinary collaboration to fully harness the potential of these innovations while ensuring their alignment with sustainability and ethical goals.

Key Words: biodegradable sensors; artificial intelligence; environmental monitoring (EM); electronic waste; smart environment; sustainable technology; bias mitigation